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James Y. Huang
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Conference and Workshop Papers
- 2024
- [c7]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. ACL (Findings) 2024: 10288-10302 - [c6]Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen:
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP 2024: 8078-8088 - 2023
- [c5]Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen:
Robust Natural Language Understanding with Residual Attention Debiasing. ACL (Findings) 2023: 504-519 - [c4]Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen:
Parameter-Efficient Tuning with Special Token Adaptation. EACL 2023: 865-872 - [c3]James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu:
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. EMNLP 2023: 14584-14595 - 2022
- [c2]James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen:
Unified Semantic Typing with Meaningful Label Inference. NAACL-HLT 2022: 2642-2654 - 2021
- [c1]James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. NAACL-HLT 2021: 1372-1379
Informal and Other Publications
- 2024
- [i10]James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth:
DeAL: Decoding-time Alignment for Large Language Models. CoRR abs/2402.06147 (2024) - [i9]Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen:
Contrastive Instruction Tuning. CoRR abs/2402.11138 (2024) - [i8]James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen:
Offset Unlearning for Large Language Models. CoRR abs/2404.11045 (2024) - [i7]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i6]Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen:
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR abs/2406.11839 (2024) - 2023
- [i5]James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu:
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. CoRR abs/2305.14599 (2023) - [i4]Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen:
Robust Natural Language Understanding with Residual Attention Debiasing. CoRR abs/2305.17627 (2023) - 2022
- [i3]James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen:
Unified Semantic Typing with Meaningful Label Inference. CoRR abs/2205.01826 (2022) - [i2]Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen:
Parameter-Efficient Tuning with Special Token Adaptation. CoRR abs/2210.04382 (2022) - 2021
- [i1]James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. CoRR abs/2104.05115 (2021)
Coauthor Index
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